To successfully carry out a wind energy conversion system, it is necessary to simultaneously control the rotor and grid side. This paper proposes doubly-fed induction generator's predictive power control. While powers are controlled indirectly through currents, latter using deadbeat command. Based on discrete-time, suggests at each sample period required voltages the-back-to-back converter reac...

Wind energy today, has attracted widespread interest from among a variety of sources of renewable energy in the world. Owing to the increasing demand for production of electrical energy for electricity networks by using wind power, it is essential that wind power plants are actively incorporated in the network’s performance using an appropriate control system. In general, these wind power p...

In this work, a model predictive control method combined with fuzzy identification, is applied to the design of the thermoelectric (TE) power control in the SP-100 space reactor. The future TE power is predicted by using the fuzzy model identified by a subtractive clustering method of a fast and robust algorithm. The objectives of the proposed fuzzy model predictive controller are to minimize b...

The process of combined cycle power plant(CCPP)is characterized by nonlinearity and uncertainty. While model predictive control has been widely used in CCPP, incorporating of constraints is a major problem. Considering a supervisory control structure, this work presents nonlinear constraint predictive control by introducing of neuro-fuzzy networks(NFNs) representing a nonlinear dynamical proces...

The authors present and analyse a predictive closed-loop power control (CLPC) scheme, which employs a comb-type sample arrangement to effectively compensate multiple power control group delays over mobile fading channels. The authors consider both least squares and recursive least squares filters in our CLPC scheme. The effects of channel estimation error, prediction filter error and power cont...